- how to handle temporal and spatial autocorrelation
- that GLMM are not very difficult if you already know GLM and LMM
- that random effects as well can have non Gaussian distribution
- that there are even more general methods than GLMM out there: HGLM and DHGLM
- how to handle heteroscedasticity